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BerkeleyX: Advanced Concepts in Economics
Learn the basic concepts of economics through Data Science applications and Python programming. This course covers applications in production theory, utility maximization, randomized controlled trials, and income inequality. Second course of a three course series.
This Course Includes
edx
0 (0 reviews )
4 weeks at 5-10 hours per week
english
Online - Self Paced
course
BerkeleyX
About BerkeleyX: Advanced Concepts in Economics
This second course in the Data Science and Economics series is based on a Connector Course taught at UC Berkeley as a Connector between the field of Economics and the popular Introduction to Data Science Course.
In this course we cover national productivity and cross-country historical comparisons, international development, income inequality, and constrained optimization.
This course is of interest to the growing number of students interested in the overlap between Economics and Data Science. The course has some more advanced programming challenges, including the cobb-douglas formulation for production and consumption.
Each of the applications follows a unique applied dataset to illustrate the concepts that are learned in intermediate economics courses. Concepts of utility and production functions are modeled within python mathematical formulations.
What You Will Learn?
- Applied programming approaches.
- Cobb-Douglas production and consumption.
- Constrained optimization.
- Recovering a demand curve from a utility function.
- National production accounts.
- Randomized Controlled Trials.
- Lorenz Curve and Gini Coefficient.
- Income and Wealth Inequality.
- Inequality trends across time and across countries.